Overview
- Highlights the use of data mining and ML techniques in enhancing the performance of soccer goalkeepers
- Presents large datasets to draw important inferences for diagnostic and performance improvement purposes
- Includes analysis from various top-flight European Soccer Leagues to substantiate the findings
Part of the book series: SpringerBriefs in Applied Sciences and Technology (BRIEFSAPPLSCIENCES)
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About this book
This brief highlights the factors associated with good goalkee** techniques and their impact on goalkeepers’ performance in elite European football leagues. The goalkee** performances of 1600 goalkeepers from five consecutive seasons across the English Premier League, Spanish La Liga, Italian Serie A, and German Bundesliga are studied. The findings from this brief are useful for identifying the success metrices of top-class goalkeepers that help stakeholders to devise strategies to further enhance their performances and empower talent identification experts with pertinent information for map** out future high-performance goalkeepers.
Keywords
Table of contents (8 chapters)
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Front Matter
Authors and Affiliations
About the authors
Dr. Rabiu Muazu Musa holds a PhD in Sports Science from Universiti Sultan Zainal Abidin (UniSZA), Malaysia. He obtained his MSc in Sports Science from UniSZA and his BSc in Physical and Health Education at Bayero University Kano, Nigeria. He is currently a senior lecturer at the Centre for Fundamental and Continuing Education, Universiti Malaysia Terengganu. His research activity focuses on the development of multivariate and machine-learning models for athletic performance. His research interests include sports performance analysis, health promotion, sport
and exercise science, talent identification, test, and measurement as well as machine learning in sports.
Dr. Anwar P.P. Abdul Majeed graduated with a first-class honours B.Eng. in Mechanical Engineering from Universiti
Teknologi MARA (UiTM), Malaysia. He obtained an MSc. in Nuclear Engineering from Imperial College London, United Kingdom. He then received his PhD inRehabilitation Robotics from the Universiti Malaysia Pahang (UMP). He is currently serving as an Associate Professor at the School of Robotics, XJTLU. Prior to joining XJTLU, he was a Senior Lecturer (Assistant Professor) and the Head of Programme (Bachelor of Manufacturing Engineering Technology (Industrial Automation)) at the Faculty of Manufacturing and Mechatronics Engineering Technology, UMP. He is also currently serving as an adjunct lecturer at UCSI University, Malaysia. Dr Anwar is also a Visiting Research Fellow at EUREKA Robotics Centre, Cardiff Metropolitan University, UK. His research interest
includes rehabilitation robotics, computational mechanics, applied mechanics, sports engineering, renewable and nuclear energy, sports performance analysis as well as machine learning.
Ms. Aina Munirah Ab Rasid has an academic background in health psychology, specializing in sport science.
She completed her master's degree at UniversitiMalaysia Terengganu, focusing on the practical application of sport science principles. Prior to her master's degree, she earned a bachelor's degree in biomedical Electronics Engineering from Universiti Malaysia Perlis in 2020. Driven by her passion for sports, Aina decided to pursue advanced studies in sports science, utilizing her engineering background to explore various facets of the field, including performance analysis, sports analytics, sports biomechanics, and instrumentation in sports.
Dr. Mohamad Razali Abdullah obtained his Bachelor of Physical Education in 1989 from Universiti Putra Malaysia (UPM). He obtained his MSc in Sport and Exercise Science from the University of Wales Institute, Cardiff in 1998 and in 2007 he received his PhD in Sports Science from UPM. His research interests include motor control, sports biomechanics, motor performance and machine learning in sports. He is currently an Associate Professor at the Faculty of Health Science Universiti Sultan Zainal Abidin, Terengganu, Malaysia
Bibliographic Information
Book Title: Data Mining and Machine Learning in Sports
Book Subtitle: Success Metrics for Elite Goalkeepers in European Football Leagues
Authors: Rabiu Muazu Musa, Anwar P. P. Abdul Majeed, Aina Munirah Ab Rasid, Mohamad Razali Abdullah
Series Title: SpringerBriefs in Applied Sciences and Technology
DOI: https://doi.org/10.1007/978-981-99-7762-8
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024
Softcover ISBN: 978-981-99-7761-1Published: 17 February 2024
eBook ISBN: 978-981-99-7762-8Published: 16 February 2024
Series ISSN: 2191-530X
Series E-ISSN: 2191-5318
Edition Number: 1
Number of Pages: XI, 55
Number of Illustrations: 1 b/w illustrations, 18 illustrations in colour
Topics: Computational Intelligence, Sport Science , Machine Learning, Data Mining and Knowledge Discovery